Mercator
Founding AI Engineer
San Francisco
Work authorization requiredDetected 217 days ago
TensorFlowLLMsRAGAgentic AISystems Engineering
About the role
- Today's systems leak $1.7T in waste each year in retail alone - in overproduction, lost revenue, and unnecessary emissions.
- Mercator's founders are seasoned technical operators with a decade of experience leading cutting-edge AI and simulation efforts across Google (Gemini, Tensorflow, & Google X).
- We recently raised $5M in seed funding from leading Silicon Valley investors and are scaling our small, elite engineering team to meet growing customer demand.
Responsibilities
- Mercator is building AI agents that coordinate global supply chains.
- As Mercator's first AI/Data Systems engineer, you'll build the core pipelines that transform messy, unstructured inputs into clean, structured, reliable data that powers our entire product.
- You'll design LLM-driven reasoning workflows, build RAG pipelines, and architect the gold-standard data store that becomes the trusted source for everything downstream.
- You'll partner closely with our product and application engineers to define data contracts, build APIs, and ensure that simulation and customer-facing features are backed by data that is consistent, explainable, and production-grade.
- We are able to support H-1B transfers but are not initiating new visa sponsorships at this time.
Requirements
- Applicants must have valid U.S. work authorization.
Benefits
- Comprehensive health, dental, and vision insurance
Company info
- every simulation, every feature, and every customer decision relies on the accuracy and intelligence of the systems you build.
- skiing, surfing) two weeks a year
- You'll own end-to-end ingestion and reasoning: extracting data from varied sources, interpreting and mapping it into structured schemas, reconciling inconsistencies, validating correctness, and indexing it for retrieval and grounding.
- You'll prototype quickly, iterate with real customer inputs, debug ambiguous failures, and harden the systems so they scale with product complexity.
- This role sits at the intersection of LLMs, retrieval, data modeling, and systems design; the pipelines you build will define what the product can understand, simulate, and ultimately deliver for customers.
- As a company we'll work from a fun destination (think: skiing, surfing) two weeks a year
Visa & Work Authorization
- Applicants must have valid U.S. work authorization.
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This listing is sourced directly from Mercator's careers page and normalized into a canonical job model.